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EdenLabs/agentic-renderdoc

An MCP server and RenderDoc extension that allows AI agents to inspect and interact with a live captures

https://github.com/EdenLabs/agentic-renderdoc · commit 2abcc5530656 · scored 2026-11-13 · scoring prov-4+qual-2+sec-2

unreviewed-ai-risk

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Scores

Unreviewed AI code risk: a large share of this code is explicitly AI-attributed, and its tests or review process are weak while quality or security scores are low.

Pillar Score Signal Confidence Coverage
AI provenance (estimated AI-generated share) 99 explicit 73% 100%
Code quality 41 poor 90% 100%
Security 75 adequate 85% 100%

AI provenance

Explicit AI attribution on 99% of first-party code added; an estimated 99% including velocity signals.

AI tool Attributed commits Lines added
Claude Code 13 8,547

Current source lines last changed by AI-attributed commits: 7,362 of 7,466.

Too few lines in one group to compare finding densities.

Month Lines added Attributed to AI
2026-02 4,882 100%
2026-03 820 100%
2026-04 2,211 100%
2026-05 634 100%
2026-09 105 0%

Evidence

AI provenance describes how code was produced; it is not a quality judgment. Unless attribution is explicit, these are signals consistent with AI generation, not proof. Squash/rebase workflows, imported code, and rewritten history reduce accuracy.

Code quality

Code quality is poor: test-to-source ratio 0.00, no CI test run detected; 20% of function code in complex or long functions; 4% duplicated lines. Weakest area: type safety.

Area Score
Complexity (lizard) 55
Duplication 80
Code smells (Opengrep) 42
Tests and CI 4
Documentation 65
Type safety 0
Process (Scorecard review/maintenance) n/a

Most complex functions:

Security

Security posture is adequate: 5 high-severity SAST findings. Weakest area: posture.

Area Score
Secrets (gitleaks, tree + history) 100
Static analysis (Opengrep) 81
Vulnerable dependencies (OSV) n/a
CI workflows (zizmor) n/a
Posture (policy, updates, signing, lockfiles) 0
OpenSSF Scorecard n/a

Top findings

Severity Finding Location
high opengrep/python.lang.security.audit.dangerous-subprocess-use-audit: Detected subprocess function 'check_call' without a static string. If this data can be controlled by a malicious actor, it may be an instance of command injection. Audit the use of this call to ensure it is not controllable by an external resource. You may consider using 'shlex.escape()'. [confidence low] package.py:50
high opengrep/python.lang.security.audit.dangerous-subprocess-use-audit: Detected subprocess function 'check_call' without a static string. If this data can be controlled by a malicious actor, it may be an instance of command injection. Audit the use of this call to ensure it is not controllable by an external resource. You may consider using 'shlex.escape()'. [confidence low] scripts/install.py:27
high opengrep/python.lang.security.audit.dangerous-subprocess-use-audit: Detected subprocess function 'check_call' without a static string. If this data can be controlled by a malicious actor, it may be an instance of command injection. Audit the use of this call to ensure it is not controllable by an external resource. You may consider using 'shlex.escape()'. [confidence low] scripts/install.py:41
high opengrep/python.lang.security.audit.dangerous-subprocess-use-audit: Detected subprocess function 'Popen' without a static string. If this data can be controlled by a malicious actor, it may be an instance of command injection. Audit the use of this call to ensure it is not controllable by an external resource. You may consider using 'shlex.escape()'. [confidence low] src/extension/headless.py:210
high opengrep/python.lang.security.audit.dangerous-subprocess-use-audit: Detected subprocess function 'Popen' without a static string. If this data can be controlled by a malicious actor, it may be an instance of command injection. Audit the use of this call to ensure it is not controllable by an external resource. You may consider using 'shlex.escape()'. [confidence low] src/server/client.py:704
medium opengrep/python.lang.security.audit.exec-detected: Detected the use of exec(). exec() can be dangerous if used to evaluate dynamic content. If this content can be input from outside the program, this may be a code injection vulnerability. Ensure evaluated content is not definable by external sources. [confidence low] src/extension/handlers.py:409
medium opengrep/python.lang.security.audit.eval-detected: Detected the use of eval(). eval() can be dangerous if used to evaluate dynamic content. If this content can be input from outside the program, this may be a code injection vulnerability. Ensure evaluated content is not definable by external sources. [confidence low] src/extension/handlers.py:410
medium opengrep/python.lang.security.audit.exec-detected: Detected the use of exec(). exec() can be dangerous if used to evaluate dynamic content. If this content can be input from outside the program, this may be a code injection vulnerability. Ensure evaluated content is not definable by external sources. [confidence low] src/extension/handlers.py:412

Static signals only: the scorer never runs the project's code. Secret findings are pattern matches that were not verified, and secret values are never stored.

Repository profile

Language Lines
Python 7,466

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